Mssa-net: Multi-scale self-attention network for breast ultrasound image segmentation

Meng Xu, Kuan Huang, Qiuxiao Chen, Xiaojun Qi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

Ultrasound imaging is one of the most commonly used diagnostic tools to detect and classify abnormalities of the women breast. Automatic ultrasound image segmentation provides radiologists a second opinion to increase diagnosis accuracy. Deep neural networks have recently been employed to achieve better image segmentation results than conventional approaches. In this paper, we propose a novel deep learning architecture, a Multi-Scale Self-Attention Network (MSSA-Net), which can be trained on small datasets to explore relationships between pixels to achieve better segmentation accuracy. Our MSSA-Net integrates rich local features and global contextual information at different scales and applies self-attention to multi-scale feature maps. We evaluate the proposed MSSA-Net on three public breast ultrasound datasets and compare its performance with six state-of-the-art deep neural network-based approaches in terms of five metrics. MSSA-Net achieves best overall segmentation results and improves the second best approach by 1.21% for Jaccard Index (JI) and 0.94% for Dice's Coefficient (DSC).

Original languageEnglish
Title of host publication2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021
PublisherIEEE Computer Society
Pages827-831
Number of pages5
ISBN (Electronic)9781665412469
DOIs
StatePublished - 13 Apr 2021
Event18th IEEE International Symposium on Biomedical Imaging, ISBI 2021 - Nice, France
Duration: 13 Apr 202116 Apr 2021

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2021-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference18th IEEE International Symposium on Biomedical Imaging, ISBI 2021
Country/TerritoryFrance
CityNice
Period13/04/2116/04/21

Keywords

  • Breast ultrasound image segmentation
  • MSSA-Net
  • Multi-scale self attention

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